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RWTH Aachen University

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Funded PhD in High-Throughput Screening of Bacterial Motility, Gut Microbiota, and Human Health at RWTH Aachen University RWTH Aachen University in Germany

Degree Level

PhD

Field of study

Inflammation

Funding

Funded PhD position remunerated according to the DFG pay scale TV-L E13 at 65% salary. Flexible start date before the end of 2026.

Deadline

Expired

Country flag

Country

Germany

University

RWTH Aachen University

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Keywords

Inflammation
Computer Science
Machine Learning
Microbiology
Biomedical Engineering
Biophysics
Biology
Optics
Python Programming
Gut Microbiota
Host-pathogen Interaction
Statistics
Bioinformatic
Physics

About this position

PhD opportunity in Germany at RWTH Aachen University in the Grognot Lab, focused on high-throughput screening of bacterial motility in human health.

The project sits at the intersection of gut microbiota, host-microbe interactions, bacterial motility, inflammation, quantitative microbiology, biophysics, and machine learning. The lab studies how microbes navigate the host environment and how motility relates to gut health, IBD, and pathogen behavior. The work is embedded in the CRC1382 Gut-Liver axis context and involves quantitative approaches to assess motility across the diversity of the gut microbiota.

Ideal applicants come from microbiology, bioinformatics, biomedical engineering, molecular biology, optics, machine learning, or related quantitative sciences. The post specifically values multidisciplinary profiles with experience in at least two of the following: biological sciences/microbiology, microscopy and/or optics, pharmaceuticals with a molecular biology emphasis, machine learning for biological questions, bioinformatics for metagenomic analysis, or active soft matter.

Technical requirements include coding experience in Python or MATLAB and strong English skills (at least C1 level). The lab is open to candidates from diverse backgrounds who are enthusiastic about quantitative analysis of biological phenomena and willing to learn microbiology methods.

Funding: the position is remunerated according to the DFG pay scale TV-L E13 (65%). The start date is flexible, but must be before the end of 2026.

How to apply: send a detailed CV, semester transcripts from your master’s degree (or a list of attended courses if transcripts are not yet available), and a concise motivation letter to Pr. Marianne Grognot at [email protected]. Applications are reviewed on a rolling basis until the position is filled.

Funding details

Funded PhD position remunerated according to the DFG pay scale TV-L E13 at 65% salary. Flexible start date before the end of 2026.

What's required

Applicants should have a multidisciplinary background with experience or knowledge in at least two of the following: biological sciences and microbiology, microscopy techniques and/or optics, pharmaceuticals with a molecular biology emphasis, machine learning approaches in biological questions/contexts, bioinformatics for metagenomic analysis, or active soft matter. Coding experience in MATLAB or Python is required, and strong English skills are required (at least C1 level). The post is open to candidates from biomedical engineering to microbiology, provided they have a strong interest in quantitative analysis of biological phenomena and are willing to learn new microbiology methods.

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Professors

Professor

University Name
Country flag

Germany

Research Interests

Microbiology

Cell Biology

Chemotaxis

Biofilm Formation

Bacterial Ecology